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David Pfleger University of Stuttgart

Simulationsgestützte Planung, , , and . Technisches Handbuch Logistik 2: Fördertechnik, Materialfluss, Intralogistik, Springer Berlin Heidelberg, Berlin, Heidelberg, (2020)
Simulationsgestützte Planung, , , and . Technisches Handbuch Logistik 2: Fördertechnik, Materialfluss, Intralogistik, Springer Berlin Heidelberg, Berlin, Heidelberg, (2020)Ermittlung des logistischen und energetischen Flexibilitätspotentials eines Logistikzentrums unter Berücksichtigung von Elektromobilität, , , , , and . Wissenschaftliche Gesellschaft für Technische Logistik e. V. (WGTL), (2020)VR-basierte Planung logistischer Systeme: Entwicklung von Einsatzszenarien und Inbetriebnahme einer Versuchsumgebung, and . Tagungsband zum 13. Fachkolloquium der Wissenschaftlichen Gesellschaft für Technische Logistik e. V. (WGTL), 13, (2017)
 

Other publications of authors with the same name

Selecting gaits for economical locomotion of legged robots., , and . I. J. Robotics Res., 35 (9): 1140-1154 (2016)Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory., , and . ICRA, page 6244-6250. IEEE, (2019)The ESA Lunar Robotics Challenge: Simulating operations at the lunar south pole., , , , , , , , , and . J. Field Robotics, 29 (4): 601-626 (2012)Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory., , and . CoRR, (2018)Editorial: Assessing Bipedal Locomotion: Towards Replicable Benchmarks for Robotic and Robot-Assisted Locomotion., , , , and . Front. Neurorobot., (2019)An Inductance-Based Sensing System for Bellows-Driven Continuum Joints in Soft Robots., , , , , , and . Robotics: Science and Systems, (2017)Hybrid Operational Space Control for Compliant Legged Systems., , , , , and . Robotics: Science and Systems, (2012)Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control., , , and . Robotics: Science and Systems, (2019)A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training., , , , and . IEEE Trans. Biomed. Engineering, 66 (2): 496-508 (2019)Using wearable physiological sensors to predict energy expenditure., , and . ICORR, page 340-345. IEEE, (2017)